• DocumentCode
    1690211
  • Title

    Short-term forecast research based upon multi-robot soccer match

  • Author

    Wang, Jianguo ; Guo, Xinguang ; Bao, Jianwu ; Zhang, Yilong

  • Author_Institution
    Sch. of Autom. Eng., Northeast Dianli Univ., Jilin, China
  • fYear
    2010
  • Firstpage
    4722
  • Lastpage
    4725
  • Abstract
    Short-term forecast is proposed into the competition strategy of multi-robot soccer match, which focuses on the abilities improvements of attack and defence, increasing the success ratio as well. The Parabolic model is adopted to forecast the position of the measured objects, in addition, the corresponding parameters involved are estimated by least squares method (LSM). The results demonstrate that the ratio of scoring and stealing by using the short-term forecast solution mentioned above can be raised by 40.38% and 72.26% respectively, which then enhances the performances of attack and defence remarkably.
  • Keywords
    least squares approximations; multi-robot systems; least squares method; multirobot soccer match; parabolic model; short-term forecast research; Automation; Mobile robots; Predictive models; Robot kinematics; Robot sensing systems; Solid modeling; 5Vs5 simulation; forecast time; robot team; short-term forecast;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554547
  • Filename
    5554547